标题
Short-term PM2.5 forecasting based on CEEMD-RF in five cities of China
作者
关键词
PM2.5, Complete ensemble empirical mode decomposition, Random forest, Hybrid models
出版物
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-09-09
DOI
10.1007/s11356-019-06339-9
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- An ensemble long short-term memory neural network for hourly PM2.5 concentration forecasting
- (2019) Yun Bai et al. CHEMOSPHERE
- A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory
- (2019) Yanlin Qi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Global Association of Air Pollution and Cardiorespiratory Diseases: A Systematic Review, Meta-Analysis, and Investigation of Modifier Variables
- (2018) Weeberb J. Requia et al. AMERICAN JOURNAL OF PUBLIC HEALTH
- Evolution of the spatiotemporal pattern of PM2.5 concentrations in China – A case study from the Beijing-Tianjin-Hebei region
- (2018) Dan Yan et al. ATMOSPHERIC ENVIRONMENT
- Predicting monthly high-resolution PM 2.5 concentrations with random forest model in the North China Plain
- (2018) Keyong Huang et al. ENVIRONMENTAL POLLUTION
- Examining the effects of socioeconomic development on fine particulate matter (PM 2.5 ) in China's cities using spatial regression and the geographical detector technique
- (2018) Chunshan Zhou et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Trans-boundary air pollution in a city under various atmospheric conditions
- (2018) Ming Luo et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A machine learning method to estimate PM 2.5 concentrations across China with remote sensing, meteorological and land use information
- (2018) Gongbo Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Cleaner fuels for ships provide public health benefits with climate tradeoffs
- (2018) Mikhail Sofiev et al. Nature Communications
- Discovering relationships and forecasting PM 10 and PM 2.5 concentrations in Bogotá, Colombia, using Artificial Neural Networks, Principal Component Analysis, and k-means clustering
- (2018) Fabiana Franceschi et al. Atmospheric Pollution Research
- A secondary-decomposition-ensemble learning paradigm for forecasting PM 2.5 concentration
- (2018) Kai Gan et al. Atmospheric Pollution Research
- Improving the Accuracy and Efficiency of PM2.5 Forecast Service Using Cluster-Based Hybrid Neural Network Model
- (2018) Sachit Mahajan et al. IEEE Access
- Trend analysis and forecast of PM2.5 in Fuzhou, China using the ARIMA model
- (2018) Lanyi Zhang et al. ECOLOGICAL INDICATORS
- Short-Term PM2.5 Forecasting Using Exponential Smoothing Method: A Comparative Analysis
- (2018) Sachit Mahajan et al. SENSORS
- Monthly Load Forecasting Based on Economic Data by Decomposition Integration Theory
- (2018) Da Liu et al. Sustainability
- Effect of PM2.5 environmental pollution on rat lung
- (2018) Biao Yang et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Exposure to ambient PM2.5 during pregnancy and preterm birth in metropolitan areas of the state of Georgia
- (2018) Jianmin Zhu et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Estimating PM2.5 concentration from satellite derived aerosol optical depth and meteorological variables using a combination model
- (2018) Asha B. Chelani Atmospheric Pollution Research
- Improving PM2.5 Forecasting and Emission Estimation Based on the Bayesian Optimization Method and the Coupled FLEXPART-WRF Model
- (2018) Lifeng Guo et al. Atmosphere
- A novel model for hourly PM2.5 concentration prediction based on CART and EELM
- (2018) Zhigen Shang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Multi-output support vector machine for regional multi-step-ahead PM2.5 forecasting
- (2018) Yanlai Zhou et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Hybrid algorithm for short-term forecasting of PM2.5 in China
- (2018) Yong Cheng et al. ATMOSPHERIC ENVIRONMENT
- Influences of wind and precipitation on different-sized particulate matter concentrations (PM2.5, PM10, PM2.5–10)
- (2017) Boen Zhang et al. METEOROLOGY AND ATMOSPHERIC PHYSICS
- Recursive neural network model for analysis and forecast of PM10 and PM2.5
- (2017) Fabio Biancofiore et al. Atmospheric Pollution Research
- A novel hybrid-Garch model based on ARIMA and SVM for PM 2.5 concentrations forecasting
- (2017) Ping Wang et al. Atmospheric Pollution Research
- A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting
- (2016) Mingfei Niu et al. ATMOSPHERIC ENVIRONMENT
- Air pollutant emissions from Chinese households: A major and underappreciated ambient pollution source
- (2016) Jun Liu et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The relationship between economic growth, energy consumption, and CO2 emissions: Empirical evidence from China
- (2016) Shaojian Wang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions
- (2016) Yun Bai et al. Atmospheric Pollution Research
- PM2.5data reliability, consistency, and air quality assessment in five Chinese cities
- (2016) Xuan Liang et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- Artificial neural networks forecasting of PM 2.5 pollution using air mass trajectory based geographic model and wavelet transformation
- (2015) Xiao Feng et al. ATMOSPHERIC ENVIRONMENT
- Development of human health damage factors for PM2.5 based on a global chemical transport model
- (2015) Longlong Tang et al. INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT
- Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm
- (2013) Da Liu et al. RENEWABLE ENERGY
- An enhanced PM2.5 air quality forecast model based on nonlinear regression and back-trajectory concentrations
- (2010) W. Geoffrey Cobourn ATMOSPHERIC ENVIRONMENT
- Robust smoothing of gridded data in one and higher dimensions with missing values
- (2009) Damien Garcia COMPUTATIONAL STATISTICS & DATA ANALYSIS
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